{"id":"https://openalex.org/W4402897381","doi":"https://doi.org/10.1109/iwqos61813.2024.10682899","title":"Leave No One Behind: Unleashing Stragglers\u2019 Potential for Accurate and Realtime Asynchronous Federated Learning","display_name":"Leave No One Behind: Unleashing Stragglers\u2019 Potential for Accurate and Realtime Asynchronous Federated Learning","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4402897381","doi":"https://doi.org/10.1109/iwqos61813.2024.10682899"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos61813.2024.10682899","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwqos61813.2024.10682899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101886030","display_name":"Chuyi Chen","orcid":"https://orcid.org/0000-0002-9806-8737"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuyi Chen","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083070928","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0002-3761-0000"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110613324","display_name":"Yanchao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Zhao","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55720197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.8158416748046875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.787109375},{"id":"https://openalex.org/keywords/asynchronous-learning","display_name":"Asynchronous learning","score":0.5269449949264526},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35073232650756836},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1890864074230194},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.0942121148109436},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08619698882102966}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.8158416748046875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.787109375},{"id":"https://openalex.org/C2777072894","wikidata":"https://www.wikidata.org/wiki/Q4812204","display_name":"Asynchronous learning","level":5,"score":0.5269449949264526},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35073232650756836},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1890864074230194},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0942121148109436},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08619698882102966},{"id":"https://openalex.org/C19122763","wikidata":"https://www.wikidata.org/wiki/Q7662215","display_name":"Synchronous learning","level":4,"score":0.0},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos61813.2024.10682899","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwqos61813.2024.10682899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACM 32nd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2131496831","https://openalex.org/W2194775991","https://openalex.org/W2798720628","https://openalex.org/W2903711903","https://openalex.org/W2978709794","https://openalex.org/W2998045710","https://openalex.org/W3006403513","https://openalex.org/W3033403733","https://openalex.org/W3132826558","https://openalex.org/W3136022984","https://openalex.org/W3158259100","https://openalex.org/W3203503583","https://openalex.org/W4282049157","https://openalex.org/W4285170564","https://openalex.org/W4317926962","https://openalex.org/W4386071762","https://openalex.org/W4386243236","https://openalex.org/W4386260617","https://openalex.org/W4387353472","https://openalex.org/W4401508561","https://openalex.org/W6678914141","https://openalex.org/W6728757088","https://openalex.org/W6743688258","https://openalex.org/W6755024261","https://openalex.org/W6759238902","https://openalex.org/W6760214840","https://openalex.org/W6767676916","https://openalex.org/W6773976177","https://openalex.org/W6781318954","https://openalex.org/W6784479114","https://openalex.org/W6787972765","https://openalex.org/W6803156910","https://openalex.org/W6839009420"],"related_works":["https://openalex.org/W4226047841","https://openalex.org/W2156559761","https://openalex.org/W3020208395","https://openalex.org/W2496167052","https://openalex.org/W2041343407","https://openalex.org/W4401821536","https://openalex.org/W2058515809","https://openalex.org/W4295242624","https://openalex.org/W2946278724","https://openalex.org/W2024923645"],"abstract_inverted_index":{"Asynchronous":[0],"Federated":[1],"Learning":[2],"(AFL)":[3],"is":[4,182],"a":[5,74,133],"promising":[6],"technique":[7],"to":[8],"enable":[9],"efficient":[10],"and":[11,42,90,97,167,184,195],"flexible":[12],"distributed":[13],"learning":[14,204],"across":[15],"heterogeneous":[16],"devices.":[17,129],"However,":[18],"AFL":[19,76,84,173,193],"faces":[20],"the":[21,39,45,54,81,100,107,114,123,128,139,143,147],"challenge":[22],"of":[23,44,83,87,127,142],"handling":[24],"stragglers,":[25,57],"i.e.,":[26],"devices":[27],"that":[28,78,111,137,158,180],"have":[29],"high":[30],"latency":[31],"or":[32,52,65],"low":[33],"participation":[34],"rate,":[35],"which":[36,58,187],"can":[37],"degrade":[38],"convergence":[40,165],"speed":[41,166],"accuracy":[43,89,170],"global":[46],"model.":[47],"Existing":[48],"solutions":[49],"either":[50],"discard":[51],"penalize":[53],"updates":[55,101],"from":[56,102],"may":[59],"result":[60],"in":[61,85,118,201],"losing":[62],"valuable":[63],"information":[64],"introducing":[66],"bias.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,176],"propose":[72],"FedVDA,":[73],"novel":[75],"framework":[77],"significantly":[79],"improved":[80],"QoS":[82,198],"terms":[86],"model":[88],"training":[91,149],"time":[92,117,126],"cost":[93],"by":[94,145],"effectively":[95],"utilizing":[96],"compensating":[98],"for":[99],"stragglers.":[103],"Specifically,":[104],"Fed-VDA":[105],"introduced":[106],"dynamic":[108],"window":[109],"protocol":[110],"dynamically":[112],"adjusts":[113],"server\u2019s":[115],"waiting":[116],"each":[119],"round":[120],"based":[121],"on":[122,153,161],"estimated":[124],"completion":[125],"We":[130],"further":[131],"designed":[132],"version":[134],"control":[135],"mechanism":[136],"corrects":[138],"stale":[140],"gradients":[141],"stragglers":[144],"supplementing":[146],"missing":[148],"rounds.":[150],"Extensive":[151],"experiments":[152],"three":[154],"public":[155],"datasets":[156],"demonstrate":[157],"FedVDA":[159],"achieves,":[160],"average,":[162],"2.7\u00d7":[163],"faster":[164],"5.1%":[168],"higher":[169],"than":[171],"state-of-the-art":[172],"methods.":[174],"Moreover,":[175],"open-sourced":[177],"FedVDA1and":[178],"show":[179],"it":[181],"non-intrusive":[183],"highly":[185],"scalable,":[186],"enables":[188],"easy":[189],"integration":[190],"with":[191,199],"other":[192],"algorithms":[194],"improves":[196],"their":[197],"no-pain":[200],"large-scale":[202],"federated":[203],"systems.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}